Abstract
Monitoring fetal wellbeing is a compelling problem in modern obstetrics. Clinicians have become increasingly aware of the link between fetal activity (movement), well-being, and later developmental outcome. We have recently developed an ambulatory accelerometer-based fetal activity monitor (AFAM) to record 24-hour fetal movement. Using this system, we aim at developing signal processing methods to automatically detect and quantitatively characterize fetal movements. The first step in this direction is to test the performance of the accelerometer in detecting fetal movement against real-time ultrasound imaging (taken as the gold standard). This paper reports first results of this performance analysis.
Original language | English |
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Title of host publication | 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 |
Pages | 7877-7880 |
Number of pages | 4 |
DOIs | |
Publication status | Published - 2011 |
Event | 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 - Boston, MA, United States Duration: Aug 30 2011 → Sept 3 2011 |
Other
Other | 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 |
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Country/Territory | United States |
City | Boston, MA |
Period | 8/30/11 → 9/3/11 |
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
- Signal Processing
- Biomedical Engineering
- Health Informatics